You are viewing a plain text version of this content. The canonical link for it is here.
Posted to dev@mahout.apache.org by "Dmitriy Lyubimov (JIRA)" <ji...@apache.org> on 2015/06/03 01:24:49 UTC

[jira] [Created] (MAHOUT-1723) Optional structural "flavor" abstraction for in-core matrices.

Dmitriy Lyubimov created MAHOUT-1723:
----------------------------------------

             Summary: Optional structural "flavor" abstraction for in-core matrices.
                 Key: MAHOUT-1723
                 URL: https://issues.apache.org/jira/browse/MAHOUT-1723
             Project: Mahout
          Issue Type: Improvement
            Reporter: Dmitriy Lyubimov
            Assignee: Dmitriy Lyubimov
             Fix For: 0.10.2


This is structural abstraction (which is optional for a matrix but implemented for most we use) that allows to interrogate matrix operands whether they are dense or sparse, row or column-major or diagonal etc. without coding to a concrete matrix implementation class.

this allows to build structure-optimized iterations. 




--
This message was sent by Atlassian JIRA
(v6.3.4#6332)